ENNB is a two-stage statistical procedure for feature selection and comparison in functional analysis of metagenomes.In the first stage of the proposed procedure, the informative features are selected using Elastic Net as reducing the dimension of metagenomic data; in the second stage the differentially abundant features are detected using generalized linear models with a Negative Binomial distribution.
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A two-stage statistical procedure for feature selection and comparison in functional analysis of metagenomes.
Pookhao N, Sohn M, Li Q, Jenkins I, Du R, Jiang H, An L.
Bioinformatics. 2014 Sep 24. pii: btu635.